TY  - BOOK
AU  - Arem, Hannah
AU  - Blumenthal, Joseph
AU  - Kazi, Sadaf
AU  - Milicia, Arianna
AU  - Smith, MarjannabMHRI
AU  - Starling, Claire M
TI  - Understanding social needs screening and demographic data collection in primary care practices serving Maryland Medicare patients
SN  - 1472-6963
PY  - 2024///
KW  - *Housing
KW  - *Medicare
KW  - Aged
KW  - Cross-Sectional Studies
KW  - Data Collection
KW  - Humans
KW  - Maryland
KW  - Primary Health Care
KW  - United States
KW  - Automated
KW  - MedStar Health Research Institute
KW  - MedStar Institute for Innovation
KW  - National Center for Human Factors in Healthcare
KW  - Journal Article
N1  - Available online from MWHC library: 2001 - present
N2  - BACKGROUND: Health outcomes are strongly impacted by social determinants of health, including social risk factors and patient demographics, due to structural inequities and discrimination. Primary care is viewed as a potential medical setting to assess and address individual health-related social needs and to collect detailed patient demographics to assess and advance health equity, but limited literature evaluates such processes; CONCLUSIONS: Within the MDPCP program there was widespread implementation of social needs screenings and demographic data collection. However, there was room for additional supports in addressing some challenging social needs and increasing detailed demographics. Further research is needed to understand any adjustments to clinical care in response to identified social needs or application of data for uses such as assessing progress towards health equity and the subsequent impact on clinical care and health outcomes. Copyright © 2024. The Author(s); METHODS: We conducted an analysis of cross-sectional survey data collected from n = 507 Maryland Primary Care Program (MDPCP) practices through Care Transformation Requirements (CTR) reporting in 2022. Descriptive statistics were used to summarize practice responses on social needs screening and demographic data collection. A stepwise regression analysis was conducted to determine factors predicting screening of all vs. a targeted subset of beneficiaries for unmet social needs; RESULTS: Almost all practices (99%) reported conducting some form of social needs screening and demographic data collection. Practices reported variation in what screening tools or demographic questions were employed, frequency of screening, and how information was used. More than 75% of practices reported prioritizing transportation, food insecurity, housing instability, financial resource strain, and social isolation
UR  - https://dx.doi.org/10.1186/s12913-024-10948-7
ER  -